Results 41 to 50 of about 167,195 (219)

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

Deep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li, Huiyong Yin, Fangying Dong, Tao Wu, Chao Zhang   +4 more
wiley   +1 more source

A comprehensive assessment of spatial interpolation methods for the groundwater quality evaluation of Lahore, Punjab, Pakistan

NUST Journal of Engineering Sciences, 2017
Spatial interpolation is commonly used to generate water quality surfaces, but different spatial interpolation methods yield different surfaces from the same data.
Syed Umair Shahid, Javed Iqbal, Sher Jamal Khan   +2 more
doaj   +1 more source

Exponentially‐constrained Gaussian mixture model for quantifying vertical development of water‐conducting fracture zones in lithologically stratified mining roofs

Deep Underground Science and Engineering, EarlyView.
This study proposes an exponentially‐constrained Gaussian mixture model (EcGMM) to quantify vertical fracture heterogeneity in stratified roof strata. The model integrates a piecewise exponential decay term capturing global stress dissipation with Gaussian components representing localized fracture intensification at lithological interfaces.
Huiqing Yuan, Zhimin Xu, Weixiao Chen, Chenghang Zhang, Shijie Xiong, Yajun Sun   +5 more
wiley   +1 more source

A disposition of interpolation techniques [PDF]

, 2010
A large collection of interpolation techniques is available for application in environmental research. To help environmental scientists in choosing an appropriate technique a disposition is made, based on 1) applicability in space, time and space-time, 2)
Heuvelink, G.B.M., Knotters, M.
core  

Kriging Method Optimization for the Process of DTM Creation Based on Huge Data Sets Obtained from MBESs

Geosciences, 2018
The paper presents an optimized method of digital terrain model (DTM) estimation based on modified kriging interpolation. Many methods are used for digital terrain model creation; the most popular methods are: inverse distance weighing, nearest neighbour,
Maleika Wojciech
doaj   +1 more source

Dynamic prediction of coal and gas outburst risk based on quantitative analysis of stress–energy evolution and adaptive correction

Deep Underground Science and Engineering, EarlyView.
This study quantitatively analyzed the spatiotemporal evolution of stress redistribution ahead of the working face by integrating coal seam distribution, tectonic stress anomalies, gas pressure, and mining‐induced disturbances. An R‐value criterion for coal and gas outburst (CGO) risk assessment was established based on energy principles.
Yingjie Zhao, Xueqiu He, Dazhao Song, Liming Qiu, Minggong Guo, Jie Liu, Qiang Liu, Yi Zhu   +7 more
wiley   +1 more source

Human pressure, habitat heterogeneity and species traits jointly determine the level of dark diversity in coastal fish communities

Ecography, EarlyView.
Understanding how anthropogenic pressures and environmental gradients shape coastal fish communities is a central question in biogeography and marine conservation. Yet, the set of species expected to occur at a site given ecological conditions but being absent – the so‐called dark diversity – has received far less attention than observed species, even ...
Loïc Sanchez, Jeanne Rolland, Adèle Barroil, Célia Bertrand, Agathe Blandin, Pierre Boissery, Thomas Bockel, Eric Charbonnel, Julie Deter, Régis Hocdé, Florian Holon, Jean‐Baptiste Juhel, Nicolas Loiseau, Bastien Macé, Anthony Maire, Stéphanie Manel, Marie Orblin, Franck Pichot, Jean‐Jacques Riutort, Lola Romant, Rémy Simide, Alice Valentini, Laure Velez, David Mouillot   +23 more
wiley   +1 more source

Interpolação espacial: uma comparação analítica entre redes RBF e Krigagem [PDF]

, 2013
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós -Graduação em Computação, Florianópolis, 2013.Entre diversos métodos de interpolação espacial, dois dos mais populares sãoa Krigagem e as Redes de Função
Fazio, Vinícius Sousa
core  

A generative deep neural network as an alternative to co-kriging

Applied Computing and Geosciences
In geosciences, kriging is leading spatial interpolation, and co-kriging is the most commonly used method for accomplishing spatial interpolation of a target variable by incorporating information from a secondary variable.
Herbert Rakotonirina, Paul Honeine, Olivier Atteia, Antonin Van Exem   +3 more
doaj   +1 more source

Beyond Prediction: Data, Baselines, Explanation, and Causation in Machine Learning for Food Insecurity

Food Safety and Health, EarlyView.
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob, Azman Abdullah, Gunesh Kumar, Samreen Memon, Naila Afghan   +4 more
wiley   +1 more source